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Modeling Neural Development

An important collection showing how computational and mathematical modeling can be used to study the complexities of neural development;

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Modeling Methods and Practices in Soil and Water Engineering

methods, including groundwater recharge estimation, rainfall-runoff modeling using artificial neural networks, development and application of a;

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Semi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Computational Neurogenetic Modeling

). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Nonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers

modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power;

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Engineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN;

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The Neural Simulation Language

An overview of the Neural Simulation Language (NSL), including examples of a rich variety of brain models. The Neural Simulation Language;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Artificial Neural Networks

Artificial neural networks are graphical structures whose initial purpose was to emulate the human brain. They were introduced in 1943 by;

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The Neuroscience of Normal and Pathological Development

neurological development and provides readers with a detailed introduction to the neural connections and complexities in biological circuitries, as;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Artificial Neural Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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Artificial Neural Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications;

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Hysteresis And Neural Memory

This book presents a concise and rigorous exposition of Preisach hysteresis models and their applications to the modeling of neural memory;

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Advances in Neural Networks - ISNN 2016

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg;

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Joint Models of Neural and Behavioral Data

This book presents a flexible Bayesian framework for combining neural and cognitive models. Traditionally, studies in cognition and;

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The Neural Crest and Neural Crest Cells in Vertebrate Development and Evolution

A presentation of all aspects of neural crest cell origins (embryological and evolutionary) development and evolution; neural crest cell;

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The Neural Crest and Neural Crest Cells in Vertebrate Development and Evolution

A presentation of all aspects of neural crest cell origins (embryological and evolutionary) development and evolution; neural crest cell;

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